MIGREW: Database on molecular identification of genes for resistance in wheat

Fedor V. Kazantsev, Ekaterina S. Skolotneva, Vasiliy N. Kelbin, Elena A. Salina, Sergey A. Lashin

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Population structure of fungal infections in wheat differs between wheat varieties and environments. Taking into account evolution of host-pathogen interactions, genetic diversity of both wheat and fungus must be a monitored. In order to catalogue information to support need of wheat pathologists and breeders, who use conventional methods and Molecular Assisted Selection (MAS) techniques, we have developed the Molecular Identification of Genes for Resistance in Wheat (MIGREW) database. The main goal of this database is to support wheat breeding efforts to develop immunity to rusts and powdery mildew. MIGREW is also focused on effectiveness of wheat resistance genes in different regions of Russia to provide users relevant information on the rapidly changing population structure of pathogens.

Original languageEnglish
Article number36
Number of pages8
JournalBMC Bioinformatics
Volume20
Issue numberSuppl 1
DOIs
Publication statusPublished - 5 Feb 2019

Keywords

  • Avirulent genes
  • Database
  • Resistant genes
  • Stem rust
  • Wheat
  • PUCCINIA-TRITICINA
  • LEAF RUST
  • DIVERSITY

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